CN102184481A - System and method for diagnosing and analyzing industrial energy - Google Patents

System and method for diagnosing and analyzing industrial energy Download PDF

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CN102184481A
CN102184481A CN2011101245712A CN201110124571A CN102184481A CN 102184481 A CN102184481 A CN 102184481A CN 2011101245712 A CN2011101245712 A CN 2011101245712A CN 201110124571 A CN201110124571 A CN 201110124571A CN 102184481 A CN102184481 A CN 102184481A
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energy
parameter
energy consumption
enthalpy
medium
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CN102184481B (en
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郎娜
赵昼辰
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CGN Intelligent Technology (Shenzhen) Co., Ltd
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SANBO ZHONGZI TECH Co Ltd BEIJING
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Abstract

The invention relates to a system and a method for diagnosing and analyzing industrial energy. The system comprises a process data acquisition circuit, a process database, a process data computing circuit and a system configuration module, wherein the process data acquisition circuit acquires the industrial process data of industrial process equipment within appointed time, the industrial process data is respectively input into the process database and the process data computing circuit according to a meter site number; the process database builds a process equipment model which takes process equipment contained in an energy consumption system as an object according to the industrial process data; the process equipment model comprises the following elements of equipment name, equipment input and output energy medium name and energy medium parameter; the process data computing circuit obtains the enthalpy of the energy medium corresponding to the meter site number according to the industrial process data; and the enthalpy is input to the database and stored as an energy medium parameter; and the system configuration module comprises a structure configuration module and a parameter configuration module, wherein the parameter configuration module comprises an enthalpy analysis module configuration module and an analysis parameter configuration module.

Description

A kind of energy consumption of industry diagnostic analysis system and method
Technical field
The present invention relates to a kind of energy management system, be specifically related to a kind of energy consumption of industry diagnostic analysis system and method.
Background technology
China is one of maximum in the world energy resource consumption state, and energy cost accounting example in total cost is higher, thereby the energy-saving and cost-reducing key task that has become each manufacturing enterprise of China.Many large and medium-sized industrial enterprise have proposed serial of methods and measure advances energy-saving and cost-reducing.The enterprise energy management is the basis of energy-saving and cost-reducing work, by the enterprise energy consumption situation is described intuitively, finds enterprise to the weak link of these energy consumption systems such as workshop or operation in the energy utilization process, proposes improvement direction and measure.
The foundation of energy consumption model is usually based on mathematical model in enterprise's energy analysis, as system identifying method etc., is generally used for Business entity's energy consumption unit modeling, and at enterprise's specific device exploitation, model commonality is poor.These modeling methods can reflect production scale and energy consumption situations such as energy consumption cost analysis, inputoutput to a certain extent, but can not embody system's energy-dissipation structure etc. be used for the deep layer energy analysis with can evaluation index.Thereby need a kind of can the succession on the unit model based at present badly, and set up one with angle intuitively and embody device integral body and unit simultaneously with stratification model that can situation, realize the target of the comprehensive energy spectrometer of enterprise, assessment and diagnosis.
Summary of the invention
The present invention is directed to the deficiencies in the prior art, having proposed a kind of is object with the energy consumption system, set up and reflect energy consumption system integral body and the process device stratification model of energy situation simultaneously, so that the analytical approach different to employing at all levels, according to the thermodynamic analysis result to energy consumption system integral body and process device monomer with can state making diagnosis, quantitative conclusion and each process device energy of output energy consumption system overall performance utilize and damaed cordition, and the energy consumption of industry diagnostic analysis system of pointed evaluation index is provided; And energy consumption of industry diagnostic analysis method.
Technical scheme of the present invention is as follows:
A kind of energy consumption of industry diagnostic analysis system, be used for energy consumption system with can diagnostic analysis, it is characterized in that: it comprises process data Acquisition Circuit, process database, process data counting circuit and system configuration module; Described process data Acquisition Circuit is gathered the interior industrial process data of fixed time of industrial process equipment, and described industrial process data is imported described process database and process data counting circuit respectively according to the instrument item, it is the process device model of object that described process database is set up with the process device that comprises in the energy consumption system according to described industrial process data, and the element in the described process device model comprises device name, equipment input and output energy medium title, energy medium parameter; Described process data counting circuit according to described industrial process data obtain the energy medium of described instrument item correspondence enthalpy,
Figure BDA0000061154480000011
And with described enthalpy, Import in the described process database and preserve as the energy medium parameter;
Described system configuration module comprises structural arrangements module and parameter configuration module, described parameter configuration module comprise the enthalpic analysis parameter configuration module and
Figure BDA0000061154480000021
The analytical parameters configuration module; Choose the input and output energy medium of described energy consumption system in the input and output energy medium of wherein said structural arrangements module by described process device model, import described parameter configuration module
Figure BDA0000061154480000022
The analytical parameters configuration module; Described enthalpic analysis parameter configuration module reads enthalpy from the energy medium parameter of described process device model, be used to calculate the enthalpic analysis result, and is described
Figure BDA0000061154480000023
The analytical parameters configuration module reads from the energy medium parameter of described process device model
Figure BDA0000061154480000024
Value is used for calculating
Figure BDA0000061154480000025
Analysis result.
Described energy balance sheet, energy two are accounted index, energy distribution index; Described energy balance sheet comprises energy value, the income item of the every energy medium of input and output and pays a ratio; Described energy balance index comprises energy recovery rate, energy output rating, energy discharge rate and capacity usage ratio; Described energy distribution index comprises that supply can distribute, import and can distribute, discharge can distribute, export and can distribute and reclaim and can distribute.
Described
Figure BDA0000061154480000026
Analysis result comprises energy consumption system thermodynamics sophistication, energy consumption system
Figure BDA0000061154480000027
Each process device in efficient, the energy consumption system
Figure BDA0000061154480000028
Decrease coefficient, energy consumption system
Figure BDA0000061154480000029
Decrease coefficient; Process device thermodynamics sophistication, process device
Figure BDA00000611544800000210
Efficient, process device
Figure BDA00000611544800000211
Decrease coefficient.
Described enthalpic analysis result and
Figure BDA00000611544800000212
The output of analysis result input analysis result is concentrated and is exported and show.
Comprise data structure linked database and circuit for calculating energy in the described process data counting circuit, described data structure linked database calculates corresponding intermediate data according to described industrial process data, and described intermediate data imported described circuit for calculating energy, described circuit for calculating energy comprises the energy computation model of corresponding each energy medium, described energy computation model call described intermediate data and industrial process data calculates and output is corresponding enthalpy and
Figure BDA00000611544800000213
Described industrial process data comprises mass parameter, flow parameter, electrical parameter, mean pressure parameter, medial temperature parameter; Described data structure linked database comprises technological process mixing gas component table, signature coefficient table, saturated vapour thermodynamic data table, superheated vapor thermodynamic data table, mixed gas thermodynamic parameter summary table and the liquid heat mechanics parameter table of corresponding each energy medium.
The energy computation model of described circuit for calculating energy comprises fuel energy computation model, steam energy computation model, mixing material energy computation model and mixed gas energy computation model.
A kind of energy consumption of industry diagnostic analysis method, its step comprises:
1) pass through the process data that the process data Acquisition Circuit is gathered industrial process equipment, and with described process data input process data computing cicuit; According to described industrial process data calculate described energy medium correspondence enthalpy,
Figure BDA00000611544800000214
And will import enthalpy,
Figure BDA00000611544800000215
Output to process database;
2) setting up with the process device in the energy consumption system in described process database is the process device model of object, the data relation that the process device model is made up of device name, equipment input and output energy medium title, energy medium parameter; The enthalpy that described energy medium parameter is described energy medium,
Figure BDA0000061154480000031
3) the energy medium parameter of preserving in conjunction with described process device model is carried out structural arrangements and parameter configuration; The enthalpic analysis parameter configuration that comprises described energy consumption system in the parameter configuration, and energy consumption system and process device The analytical parameters configuration; Wherein structural arrangements is to choose the input and output energy medium of described energy consumption system in the input and output energy medium of described process device model, in order to carry out energy consumption system The analytical parameters configuration;
4) described enthalpic analysis parameter configuration is at first chosen energy medium from the input and output logistics of described energy consumption system, and specifies the energy value classification of each energy medium; According to energy quantitative conservation relation when changing and shift, calculate the enthalpic analysis result afterwards;
5) described
Figure BDA0000061154480000034
Analytical parameters disposes that at first define equipment is effective
Figure BDA0000061154480000035
Effective with system
Figure BDA0000061154480000036
Utilize afterwards in the process device model
Figure BDA0000061154480000037
Calculate
Figure BDA0000061154480000038
Analysis result;
6) according to analysis time scope gather enthalpy,
Figure BDA0000061154480000039
Repeat above-mentioned steps according to default computation period, finally export the enthalpic analysis result and
Figure BDA00000611544800000310
Analysis result.
Technique effect of the present invention is as follows:
A kind of energy consumption of industry diagnostic analysis of the present invention system comprises process data Acquisition Circuit, process database, process data counting circuit and system configuration module; The process data Acquisition Circuit is gathered the interior industrial process data of fixed time of industrial process equipment, and according to the instrument item with industrial process data respectively input process database and process data counting circuit, it is the process device model of object that process database is set up with the process device that comprises in the energy consumption system according to industrial process data, and the element in the process device model comprises device name, equipment input and output energy medium title, energy medium parameter; The process data counting circuit according to industrial process data obtain the energy medium of instrument item correspondence enthalpy,
Figure BDA00000611544800000311
And with enthalpy,
Figure BDA00000611544800000312
Preserve as the energy medium parameter in the input process database; The system configuration module comprises structural arrangements module and parameter configuration module, parameter configuration module comprise the enthalpic analysis parameter configuration module and
Figure BDA00000611544800000313
The analytical parameters configuration module; Wherein choose the input and output energy medium of energy consumption system in the input and output energy medium of structural arrangements module by the process device model, be used for parameter configuration module
Figure BDA00000611544800000314
The analytical parameters configuration module; The enthalpic analysis parameter configuration module reads enthalpy from the energy medium parameter of process device model, be used to calculate the enthalpic analysis result,
Figure BDA00000611544800000315
The analytical parameters configuration module reads from the energy medium parameter of process device model
Figure BDA00000611544800000316
Value is used for calculating
Figure BDA00000611544800000317
Analysis result.
The present invention is by the building process device model, and from the input and output energy medium of process device model, choose the input and output energy medium of energy consumption system, utilize degree and energy-saving potential by what the energy consumption system available energy was judged in the whole evaluation with the energy situation of energy consumption system; Reach with the energy consumption system energy-dissipation structure Decrease the analysis that distributes and find out energy consumption system energy weak link.Embodied membership and hierarchical relationship between process device model and the energy consumption system, make the enthalpic analysis result and
Figure BDA0000061154480000042
Analysis result more can embody the energy energy utilization and the damaed cordition of energy consumption system and process device, and the analysis result better authenticity and the specific aim of output are for the main object of determining the energy consumption system transformation provides foundation.
Process data counting circuit of the present invention comprises according to the classify pairing energy computation model of different-energy medium of gained of the characteristics of industrial enterprise's energy medium, according to the pairing energy computation model of different-energy medium call intermediate data and industrial process data calculates and output is corresponding enthalpy, entropy and
Figure BDA0000061154480000043
According to the characteristics of industrial enterprise's energy medium, medium is classified, with this basis that is categorized as, set up the energy computation model of different-energy medium, simplified the computation process of energy datum greatly.Utilize this model real-time to obtain the required energy datum of enterprise's energy analysis equal energy source management work, for enterprise carries out deep with diagnosing and analytical work provides the data basis.
Description of drawings
Fig. 1 is a system architecture synoptic diagram of the present invention
Fig. 2 is a process data counting circuit structural representation of the present invention
Embodiment
The present invention will be described below in conjunction with accompanying drawing.
It is purpose that energy consumption system among the present invention refers to obtain product, the integral body that organically couples together by several processes equipment, form this integral body and generally need multiclass various procedures equipment, between each process device, participate in multiple energy stream of also having of energy exchange and energy medium simultaneously.
As shown in Figure 1, energy consumption of industry diagnostic analysis of the present invention system comprises process data Acquisition Circuit 1, process database 2, process data counting circuit 3, system configuration module 4 and analysis result output collection 5.Process data Acquisition Circuit 1 is by the industrial process data of DCS system (industries process control system) gatherer process equipment, and as the attribute of intake medium and output energy medium, the energy medium attribute comprises temperature, flow and pressure; These industrial process datas are input in the process database 2 according to the instrument item and preserve.Setting up with the process device in process database 2 is the process device model of object, the data relation that the process device model is made up of device name, equipment input and output energy medium title, energy medium parameter, wherein the energy medium parameter be the enthalpy that provides by process data counting circuit 3, entropy,
Figure BDA0000061154480000044
Data.
Comprise data structure linked database 31 and circuit for calculating energy 32 in the process data counting circuit 3, circuit for calculating energy 32 comprises fuel energy computation model 321, steam energy computation model 322, mixing material energy computation model 323, mixed gas energy computation model 324.Comprise structural arrangements module and parameter configuration module in the system configuration module 4, wherein choose the process device model of the process device that energy consumption system comprises in the process device model of structural arrangements module by process database 2, by the input and output energy medium of choosing whole energy consumption system in the selected process device model input and output energy medium, be used to carry out whole energy consumption system
Figure BDA0000061154480000051
The analytical parameters configuration module; Parameter configuration module comprises the enthalpic analysis parameter configuration module and reaches The analytical parameters configuration module, to analysis result output collection 5 output enthalpic analysis results,
Figure BDA0000061154480000053
Analysis result.The enthalpic analysis result comprises energy recovery rate, energy discharge rate, capacity usage ratio, energy output rating;
Figure BDA0000061154480000054
Analysis result comprises energy consumption system thermodynamics sophistication, energy consumption system
Figure BDA0000061154480000055
Each equipment in efficient, the energy consumption system
Figure BDA0000061154480000056
Decrease coefficient, energy consumption system
Figure BDA0000061154480000057
Decrease coefficient; Equipment thermodynamics sophistication, equipment
Figure BDA0000061154480000058
Efficient, equipment
Figure BDA0000061154480000059
Decrease coefficient.
The energy medium of energy consumption system input and output comprises: supply with the primary energy (coal, oil, rock gas) of energy consumption system and the system of secondary energy (electricity, steam, coke, coal gas) and supply with energy E Supply withRaw material is brought the input energy E of system of energy consumption system into InputThe system recoveries that retracting device is collected can E ReclaimThe product system that take out of and thermonegative reaction heat that comprises of energy consumption system output exports energy E OutputLeaving that system that chilled water, waste gas, the waste liquid of energy consumption system take out of discharges can E DischargeEnergy diagnosis and the theoretical foundation of analyzing are the first laws of thermodynamics; Thereby in the system configuration module 4 of the present invention in the use data computing cicuit 3 output enthalpy and
Figure BDA00000611544800000510
Calculate.
A plurality of associated data tables are set in the data structure linked database 31 of process data counting circuit 3, characteristic according to energy medium defines the energy medium title respectively with energy medium in table, set the corresponding relation that the energy medium title is intended to determine different-energy medium and its analysis data and computing method, the coding of energy medium title can be numbered in conjunction with national regulation code and enterprise's energy medium and be defined, to guarantee uniqueness.The corresponding cover associated data table of each energy medium title is integrated in the associated data table in analysis data, the thermodynamic parameter intake counting circuit 32, and circuit for calculating energy 32 is according to results of intermediate calculations, export each energy medium correspondence enthalpy, entropy,
Figure BDA00000611544800000511
Data.Wherein data structure linked database 31 comprises associated data tables such as technological process mixing gas component table 311, enterprise energy signature coefficient table 312, saturated vapour thermodynamic data table 313, superheated vapor thermodynamic data table 314, mixed gas thermodynamic parameter summary table 315, liquid heat mechanics parameter table 316.
Each component volume content of comprising of technological process mixing gas component table 311 expression mixed gas wherein comprises parameters such as the partial component pressure of mixed gas, the average specific heat at constant pressure that is used to calculate the average specific heat at constant pressure of enthalpy and be used to calculate entropy, gas density.Enterprise energy signature coefficient table 312 derives from State Statistics Bureau's standard.Relation between the expression of saturated vapour thermodynamic data table 313 temperature, pressure and liquid enthalpy, vapour enthalpy and the vapour-liquid enthalpy.Superheated vapor thermodynamic data table 314 is contained each other pressure of steam level in the actual production according to production run, again with temperature value inquiry specific enthalpy and specific entropy, adopts the specific enthalpy under linear interpolation method acquisition actual temperature and the pressure and compares entropy.Mixed gas thermodynamic parameter summary table 315 is divided into ideal gas specific heat capacity coefficient table and standard enthalpy of formation becomes the Entropy Changes table, ideal gas specific heat capacity coefficient table comprises component sequence number, component code name, component title, molecular formula, ideal gas specific heat capacity coefficient, correction factor, and standard enthalpy of formation becomes the Entropy Changes table and comprises that gas standard generates enthalpy change, standard generates free enthalpy change, standard generation Entropy Changes, standard chemical Thermodynamic parameters such as the density of liquid heat mechanics parameter table 316 expression mixing material, mean specific heat.
Fuel energy computation model 321 in the circuit for calculating energy 32 comprises feed coal energy computation model, oily energy computation model, electric flux computation model; Steam energy computation model 322 comprises saturated vapour energy computation model, superheated vapor energy computation model, saturation water energy computation model.Model in the circuit for calculating energy 32 obtains energy medium by the form in the data query structure connection database 31 and quantizes to calculate needed intermediate data, can obtain the energy parameter of energy medium.
As shown in Figure 2, in circuit for calculating energy 32, the data structure and the computing formula of fuel energy computation model 321 are as follows:
(a) feed coal energy computation model:
The feed coal energy calculates the model data structure
Figure BDA0000061154480000062
The model input parameter is quality, signature coefficient, water cut.
Wherein, quality obtains by the instrument item; The signature coefficient obtains by the associated signature coefficient table 312 of the energy medium energy medium title of feed coal, and water cut ω obtains by the laboratory analysis data, notes unit conversion.
Output parameter is chemical enthalpy, heat
Figure BDA0000061154480000063
Chemistry enthalpy and heat
Figure BDA0000061154480000064
Obtain by following computing formula:
Chemistry enthalpy Q=quality * signature coefficient * 7000 * 4.1868 (1)
Figure BDA0000061154480000065
The calorific value of every kilogram of standard coal equivalent of GB regulation is 7000kcal, and by the different separately calorific values standard coal equivalent that to be converted into every kg calorific value be 7000kcal, 7000 units are kcal/kg in the formula with the energy of different cultivars, different content; 1kcal=4.1868kJ; ω is the water cut of feed coal; 2438 is water latent heat, and unit is kJ/kg.
(b) oily energy computation model:
The oil energy calculates the model data structure
Figure BDA0000061154480000071
The model input parameter is flow, signature coefficient.
Wherein, flow obtains by the instrument item; The signature coefficient obtains by the associated signature coefficient table 312 of the energy medium title of oil, notes unit conversion.
Output parameter is chemical enthalpy, heat
Figure BDA0000061154480000072
Chemistry enthalpy Q=quality * signature coefficient * 7000 * 4.1868 (kJ/kg) (3)
Heat
Figure BDA0000061154480000073
E XQ=0.975Q (4)
(c) electric flux computation model:
Electric flux computation model data structure
Figure BDA0000061154480000074
The model input parameter is electric weight, signature coefficient, and electric weight obtains by the instrument item, and the signature coefficient obtains by the associated signature coefficient table 312 of the energy medium energy medium title of electricity, notes unit conversion.
Output parameter be enthalpy,
Figure BDA0000061154480000075
Figure BDA0000061154480000076
The data structure and the computing formula of steam energy computation model 322 are as follows:
(i) saturated vapour energy computation model:
The saturated vapour energy calculates the model data structure
Figure BDA0000061154480000081
Saturated vapour flow, medial temperature, the mean pressure of model input parameter for obtaining by the instrument item
Results of intermediate calculations is by searching temperature or pressure at saturated vapour thermodynamic data table 313, the specific enthalpy HG of acquisition and specific entropy SG.
Output parameter be enthalpy, entropy,
Figure BDA0000061154480000082
Saturated vapour enthalpy=flow * specific enthalpy (6)
Saturated vapour entropy=flow * specific entropy (7)
The physics of saturated vapour
Figure BDA0000061154480000083
E XPh=-(H 0-H)+T 0(S 0-S)=(H-H 0)-T 0(S-S 0) (8)
Wherein, H is a saturated vapour enthalpy under the physical condition; S is a saturated vapour entropy under the physical condition; H 0Be benchmark attitude saturated vapour enthalpy; S 0Be benchmark attitude saturated vapour entropy; T 0Be benchmark attitude temperature.Saturated vapour benchmark attitude is 25 ℃, 0.10133MPa aqueous water, or 25 ℃, 3.169kPa saturated vapour are the benchmark attitude, and this Model Calculation is got 25 ℃, 3.169kPa saturated vapour for the benchmark attitude of steam.
(ii) superheated vapor energy computation model:
The superheated vapor energy calculates the model data structure
Figure BDA0000061154480000091
Have only at superheated vapor under the situation of physical change, the model input parameter is flow, medial temperature, mean pressure, obtains by the instrument item.
Results of intermediate calculations is specific enthalpy and specific entropy, obtains by looking into superheated vapor thermodynamic data table 314.
Output parameter be enthalpy, entropy,
Figure BDA0000061154480000092
Superheated vapor enthalpy=flow * specific enthalpy (9)
Superheated vapor entropy=flow * specific entropy (10)
Superheated vapor
Figure BDA0000061154480000093
E XPh=-(H 0-H)+T 0(S 0-S)=(H-H 0)-T 0(S-S 0) (11)
Wherein, H is a saturated vapour enthalpy under the physical condition; S is a saturated vapour entropy under the physical condition; H 0Be benchmark attitude saturated vapour enthalpy; S 0Be benchmark attitude saturated vapour entropy; T 0Be benchmark attitude temperature.Saturated vapour benchmark attitude is 25 ℃, 0.10133MPa aqueous water, or 25 ℃, 3.169kPa saturated vapour are the benchmark attitude, and this Model Calculation is got 25 ℃, 3.169kPa saturated vapour for the benchmark attitude of steam.
(iii) saturation water energy computation model:
The saturation water energy calculates the model data structure
Figure BDA0000061154480000094
Figure BDA0000061154480000101
The model input parameter is flow, medial temperature, obtains by the instrument item.
Results of intermediate calculations is by searching temperature or pressure at saturated vapour thermodynamic data table 313, the specific enthalpy HF of acquisition and specific entropy SF.
Output parameter be enthalpy, entropy,
Figure BDA0000061154480000102
Enthalpy=flow (m 3) * 1000 * specific enthalpy (12)
Entropy=flow (m 3) * 1000 * specific entropy (13)
Figure BDA0000061154480000103
E XPh＝-(H 0-H)+T 0(S 0-S)＝(H-H 0)-T 0(S-S 0)?(14)
Wherein, H is a saturation water enthalpy under the physical condition; H 0Be benchmark attitude saturation water enthalpy; T is an actual temperature; T 0Be benchmark attitude temperature; S is a saturation water entropy under the physical condition; S 0Be benchmark attitude saturation water entropy.It wherein is the benchmark attitude of saturation water with the status of criterion.
The data structure and the computing formula of mixing material energy computation model 323 are as follows:
This computation model is equally applicable to pure component liquid.
The mixing material energy calculates the model data structure
Figure BDA0000061154480000104
The model input parameter is volumetric flow rate, medial temperature, mean pressure, density, mean specific heat.
Wherein, flow, medial temperature, mean pressure obtain by the instrument item; Density and mean specific heat obtain by looking into liquid heat mechanics parameter table 316.
Output parameter be enthalpy, entropy,
Figure BDA0000061154480000112
The rich methanol liquid of incompressible liquid such as gas liquor, low-temperature rectisol, desulfurization rich solution etc., Cp=Cv=C.Pressure is very little to the enthalpy of liquid and the influence of entropy with respect to temperature variation, ignores at this, thereby can calculate by desirable level meter.Fluid flow is flow metering by volume generally, and the conversion relation of volumetric flow rate and mass rate is: mass rate=volumetric flow rate * density
Figure BDA0000061154480000113
dS = C p dT T - ( ∂ V ∂ T ) p dp
The specific enthalpy of ∴ mixing material: h=C p(T-T 0)
Enthalpy=the flow of mixing material * specific enthalpy (15)
The specific entropy of mixing material s = C p ln T T 0
Entropy=the flow of mixing material * specific entropy (16)
Mixing material
Figure BDA0000061154480000116
Ex = ( H - H 0 ) - T 0 ( S - S 0 ) = C p ( T - T 0 ) - T 0 C p ln T T 0 - - - ( 17 )
Wherein, Cp is the mixing material mean specific heat; H is a liquid enthalpy under the physical condition; S is a liquid entropy under the physical condition; H 0Be benchmark attitude liquid enthalpy; S 0Be benchmark attitude liquid entropy; V is the liquid volume flow; T is an actual temperature; T 0Be benchmark attitude temperature.With the status of criterion is the benchmark attitude of mixing material.
The data structure and the computing formula of mixed gas energy computation model 324 are as follows:
This computation model is equally applicable to pure component gas.
(u) mixed gas physical change computation model:
Mixed gas physical change energy calculates the model data structure
Figure BDA0000061154480000121
The model input parameter is flow, medial temperature, mean pressure, partial component pressure, average specific heat at constant pressure (enthalpy), average specific heat at constant pressure (entropy).
Wherein, flow, medial temperature, mean pressure obtain by the instrument item; Partial component pressure obtains by the technological process mixing gas component 311 of energy medium names associate; Average specific heat at constant pressure (enthalpy) and average specific heat at constant pressure (entropy) calculate by the ideal gas specific heat capacity coefficient table in the mixed gas thermodynamic parameter summary table 315 and obtain.
Output parameter: physics enthalpy change, physics Entropy Changes, physics
Figure BDA0000061154480000122
The general semi-invariant of flow is the amount under the design conditions, calculate the mole value, calculates enthalpy again; Its computing method are:
Volumetric flow rate under the amount=status of criterion of compounding substances/0.0224 (mol)
Volumetric flow rate under the status of criterion Wherein be designated as the design conditions that is of D down.
Average specific heat at constant pressure (the T of ideal gas mixture 1～T 2Average specific heat at constant pressure in the temperature range), promptly be used for the specific heat at constant pressure that enthalpy calculates:
Σ i n i C pmh * R = Σ i n i A i + ( Σ i n i B i ) T am + ( Σ i n i C i ) [ 1 3 ( 4 T am 2 - T 1 T 2 ) ] + ( Σ i n i D i ) T 1 - 1 T 2 - 1 , - - - ( 18 )
T wherein AmBe the arithmetic mean temperature, n iBe the amount of each component of mixed gas,
Figure BDA0000061154480000125
Be the average specific heat at constant pressure of mixed gas,
Be the thermodynamics medial temperature.
Be used for the specific heat at constant pressure that entropy calculates
Figure BDA0000061154480000132
Σ i n i C pms * R = Σ i n i A i + ( Σ i n i B i ) T lm + ( T am T lm ) ( Σ i n i C i + Σ i n i D i T 1 - 2 T 2 - 2 ) - - - ( 19 )
The physics enthalpy change of mixed gas: ΔH = C pmh * ( T - T 0 ) - - - ( 20 )
The physics Entropy Changes of mixed gas: ΔS = C pms * ln T T 0 - R ln p p 0 . - - - ( 21 )
The physics of mixed gas
Ex ph = ( H - H 0 ) - T 0 ( S - S 0 ) = C pmh * ( T - T 0 ) - T 0 [ C pms * ln T T 0 - R ln p p 0 ] - - - ( 22 )
Wherein,
Figure BDA0000061154480000138
Be that mixed gas is used for the specific heat at constant pressure that enthalpy calculates,
Figure BDA0000061154480000139
Be to be used for the specific heat at constant pressure that entropy calculates; T is an actual temperature; T 0Be benchmark attitude temperature; H is a gas enthalpy under the physical condition; S is a gas entropy under the physical condition; H 0Be benchmark attitude gas enthalpy; S 0Be benchmark attitude gas entropy; P is an actual pressure; p 0Be benchmark attitude pressure.With the status of criterion is the benchmark attitude of mixed gas.
(v) mixed gas chemical reaction energy computation model
Mixed gas chemical reaction energy calculates the model data structure
Figure BDA00000611544800001310
Figure BDA0000061154480000141
The model input parameter is flow, medial temperature, mean pressure, average specific heat at constant pressure (enthalpy), average specific heat at constant pressure (entropy).
Wherein, flow, medial temperature, mean pressure obtain by the instrument item; Average specific heat at constant pressure (enthalpy) and average specific heat at constant pressure (entropy) calculate by the ideal gas specific heat capacity coefficient table in the mixed gas thermodynamic parameter summary table and obtain.
Results of intermediate calculations is physics enthalpy change, physics Entropy Changes, physics
Figure BDA0000061154480000142
Standard chemical enthalpy, standard chemical entropy, standard chemical
Figure BDA0000061154480000143
Wherein, standard chemical enthalpy, standard chemical entropy, standard chemical
Figure BDA0000061154480000144
Becoming the Entropy Changes table by the standard enthalpy of formation in the mixed gas thermodynamic parameter summary table 315 obtains.
Output parameter: enthalpy, entropy,
Figure BDA0000061154480000145
Comprised physical change process in the mixed gas chemical reaction energy computation model, so enthalpy entropy in the output parameter
Figure BDA0000061154480000146
The result be physical change and chemical change enthalpy entropy
Figure BDA0000061154480000147
Sum, wherein physics enthalpy change, physics Entropy Changes, physics Calculating as above save described.
The enthalpy of mixed gas=physics enthalpy change+chemical enthalpy (23)
The entropy of mixed gas=physics Entropy Changes+chemical entropy (24)
Figure BDA0000061154480000149
As shown in Figure 3, comprise structural arrangements module and parameter configuration module in the system configuration module 4, wherein choose the process device model of the process device that energy consumption system comprises in the process device model of structural arrangements module by process database 2, by the input and output energy medium of choosing whole energy consumption system in the selected process device model input and output energy medium, be used to carry out whole energy consumption system
Figure BDA00000611544800001410
The analytical parameters configuration module; Parameter configuration module comprises the enthalpic analysis parameter configuration module and reaches
Figure BDA00000611544800001411
The analytical parameters configuration module.
Wherein the enthalpic analysis parameter configuration module has defined the energy classification of energy consumption system, comprises that supply can E Supply with, input can E Input, reclaiming can E Reclaim, output can E Output(comprising that product is taken out of can E ProductWith energy supply E outside the system The outer confession) and discharge energy E Discharge, parameters characterizes by each energy medium enthalpy of process data counting circuit 3 output, enthalpy is the entrained energy value of each energy medium, the energy value of identical category is added and get final product above-mentioned all kinds of energy values.
Enthalpic analysis parameter configuration module of the present invention adopts traditional energy analysis method, according to energy quantitative conservation relation in conversion and when shifting, basic skills is that the known energy of the total amount of energy, current effective utilization and the energy that energy loses in transforming, transmit and utilizing of providing just can draw energy consumption efficiency.This method orderliness is clear, analyzes simply, is very helpful to instructing engineering practice.The enthalpic analysis result comprises energy balance sheet, can two accounts index, energy distribution index.Energy balance sheet comprises energy value, the income item of the every energy medium of input and output and pays a ratio; Wherein energy balance sheet is as shown in table 1, and the income item is promptly taken in and the ratio of paying two in the table 1 with an expenditure ratio.The energy balance index comprises energy recovery rate η Reclaim, energy output rating η Output, energy discharge rate η DischargeAnd capacity usage ratio η Utilize, shown in equation (27)～(30).The energy distribution index comprises that supply can distribute, import and can distribute, discharge can distribute, export and can distribute and reclaim and can distribute.
Energy-balance equation:
E Input+ E Reclaim+ E Supply with=E Output+ E Discharge+ E Reclaim=(E Product+ E The outer confession)+E Discharge+ E Reclaim(26)
Energy recovery rate
Figure BDA0000061154480000151
The energy output rating
Figure BDA0000061154480000152
The energy discharge rate
Figure BDA0000061154480000153
Wherein, η Reclaim+ η Output+ η Discharge=1.
Capacity usage ratio
Figure BDA0000061154480000154
Supply can distribute as shown in table 2, is to supply with energy E Supply withDistribution in different supply sources, can account for supply with various forms of supplies can E Supply withPercentage recently represent, generally energy is divided into heat energy and power two classes.Input can distribute as shown in table 3, for input can E InputDistribution in different input sources can account for input energy E with various forms of InputPercentage recently represent.Discharging to distribute represents as table 4, is to discharge energy E DischargeDistribution in difference discharge source, there are chilled water, flue gas, product, waste water etc. in the discharge source, can find that according to discharging to distribute which discharge can E DischargeMight reduce, to determine energy-conservation direction and measure.Output can distribute as shown in table 5, for output can E OutputDistribution in different output sources can account for output energy E with various forms of OutputPercentage recently represent.Recovery can distribute as shown in table 6, is to reclaim energy E ReclaimDistribution, distribute thus and can grasp each and reclaim in that reclaim can E ReclaimIn shared ratio, determine energy-saving potential with this.
Table 1 energy balance sheet example
Table 2 is supplied with the distribution example of energy
Supply with the item that to distribute Supply with the distribution % of energy
Coal 46.87
Process steam 28.43
Purify electricity consumption 11.32
Synthetic electricity consumption 13.39
The distribution example of table 3 input energy
Import the item that to distribute The distribution % of input energy
Oxygen 1 0.88
The raw gas boiler feed water 13.87
The feedwater of conversion gas boiler 14.08
Oxygen 2 2.16
Desalted water 30.38
High pressure nitrogen 4.44
Ammonia cooler liquefied ammonia 21.24
Boiler feed water 12.96
Table 4 is discharged the distribution example of energy
Discharge the item that to distribute Discharge the distribution % of energy
Methane compressible drive steam condensate (SC) 23.86
Low-pressure steam condensate water 1 22.43
Low-pressure steam condensate water 2 2.82
H2S 17.29
The synthesic gas compressor condensate water 33.59
The distribution example of table 5 output energy
Export the item that to distribute The distribution % of output energy
CO2-1 8.89
CO2-2 5.45
Hydrogen 5.90
Product liquefied ammonia 29.36
Ammonia cooler goes out gas ammonia 30.11
Light oil 9.05
Fuel gas 6.69
The by-product low-pressure steam 4.55
Table 6 reclaims the distribution example of energy
Reclaim the item that to distribute The distribution % of recyclable energy
Methane compressible drive steam 100
Figure BDA0000061154480000171
As a kind of parameter of estimating energy value, from the value of amount with the last evaluation energy of combining of matter,
Figure BDA0000061154480000172
The process of analytical parameters configuration is on the basis that energy consumption system is analyzed, and the process device that wherein comprises is carried out profound analysis, and the matter that discloses the inner energy that exists of energy consumption system is devalued and loss, the sign energy of science utilize degree.
Figure BDA0000061154480000173
It is effective that the analytical parameters configuration module has defined process device
Figure BDA0000061154480000174
And energy consumption system is effective
Figure BDA0000061154480000175
Process device is effective
Figure BDA0000061154480000176
Effective with energy consumption system
Figure BDA0000061154480000177
By the 3 output procedure equipment input and output logistics of process data counting circuit
Figure BDA0000061154480000178
Characterize.
Figure BDA0000061154480000179
As a kind of parameter of estimating energy value, from the value of amount with the last evaluation energy of combining of matter, The process of analytical parameters configuration module is on the basis that energy consumption system is analyzed, and the process device that wherein comprises is carried out profound analysis, and the matter that discloses the inner energy that exists of energy consumption system is devalued and loss, the sign energy of science utilize degree.
Analysis result comprises energy consumption system thermodynamics sophistication ε, energy consumption system
Figure BDA00000611544800001712
Efficient
Figure BDA00000611544800001713
Each process device in the energy consumption system
Figure BDA00000611544800001714
Decrease coefficient ξ i, energy consumption system
Figure BDA00000611544800001715
Decrease coefficient ξ; Process device thermodynamics sophistication ε i, process device Efficient Process device
Figure BDA00000611544800001718
Decrease coefficient ζ i
Energy consumption system thermodynamics sophistication ε is by equation (31) expression, and promptly the system of energy consumption system exports
Figure BDA0000061154480000181
E X, outImport with system E X, inRatio, system output E X, outFor all logistics of going out energy consumption system Sum, system's input
Figure BDA0000061154480000185
E X, inFor all logistics of going into energy consumption system
Figure BDA0000061154480000186
Sum.
Figure BDA0000061154480000187
Energy consumption system
Figure BDA0000061154480000188
Efficient
Figure BDA0000061154480000189
By equation (32) expression, promptly the system of energy consumption system is effective
Figure BDA00000611544800001810
E X, efAnd systematic cost
Figure BDA00000611544800001811
E X, supRatio.Systematic cost
Figure BDA00000611544800001812
E X, supServe as reasons the external world bring into each equipment of energy consumption system once with the secondary energy sum, wherein with product
Figure BDA00000611544800001813
Effective as system
Figure BDA00000611544800001814
E X, ef, expressed cost
Figure BDA00000611544800001815
In what have utilized veritably.
Figure BDA00000611544800001816
Figure BDA00000611544800001817
Each process device in the energy consumption system Decrease coefficient ξ iBy equation (33) expression, the i.e. equipment of process device
Figure BDA00000611544800001819
Decrease E X, L, iAt systematic cost
Figure BDA00000611544800001820
E X, supMiddle proportion.Why not in the reversible process in office, must take place
Figure BDA00000611544800001821
To
Figure BDA00000611544800001822
Transformation, this part minimizing Be transformed into
Figure BDA00000611544800001824
Be referred to as equipment
Figure BDA00000611544800001825
Loss E X, L, iProcess device in the energy consumption system
Figure BDA00000611544800001826
Decrease coefficient ξ iNot only can disclose each link
Figure BDA00000611544800001827
The relative size of loss, and can find out each link clearly
Figure BDA00000611544800001828
Utilize degree.Equipment
Figure BDA00000611544800001829
Decrease E X, L, iBe the equipment input
Figure BDA00000611544800001830
E X, in, iExport with equipment
Figure BDA00000611544800001831
E X, out, iBetween difference.
Figure BDA00000611544800001833
Energy consumption system
Figure BDA00000611544800001834
Decrease coefficient ξ by equation (34) expression, the i.e. system of energy consumption system
Figure BDA00000611544800001835
Damage is in the energy consumption system cost
Figure BDA00000611544800001836
Middle proportion, obviously energy consumption system
Figure BDA00000611544800001837
Decrease coefficient ξ and equal each process device in the energy consumption system
Figure BDA00000611544800001838
Decrease coefficient ξ iSummation.
Figure BDA00000611544800001839
Process device thermodynamics sophistication ε iBy equation (35) expression, i.e. the equipment of process device output
Figure BDA00000611544800001840
E X, out, iImport with equipment E X, in, iThe ratio.Equipment output
Figure BDA00000611544800001842
E X, out, iFor going out owning of process device
Figure BDA00000611544800001843
The stream sum, the equipment input
Figure BDA00000611544800001844
E X, in, iFor going into owning of process device
Figure BDA00000611544800001845
The stream sum.
Figure BDA00000611544800001846
Process device Efficient
Figure BDA0000061154480000192
By equation (36) expression, promptly the equipment of process device is effective
Figure BDA0000061154480000193
E X, ef, iWith the equipment cost
Figure BDA0000061154480000194
E X, sup, iRatio; The equipment cost
Figure BDA0000061154480000195
E X, sup, iServe as reasons the external world bring into process device once and secondary energy.
Process device
Figure BDA0000061154480000198
Decrease coefficient ζ iBy equation (37) expression, indication equipment
Figure BDA0000061154480000199
Be lost in the equipment cost
Figure BDA00000611544800001910
E X, sup, iIn shared ratio.Equipment Loss E X, L, iWith the equipment cost E X, sup, iBetween ratio be referred to as equipment
Figure BDA00000611544800001913
Decrease coefficient ζ i
Figure BDA00000611544800001914
Figure BDA00000611544800001915
Energy consumption of industry diagnostic analysis method of the present invention comprises:
1) process data of gathering process device in the energy consumption system by process data Acquisition Circuit 1, and with process data input process data computing cicuit 3; Process data counting circuit 3 according to the enthalpy of industrial process data calculating energy medium correspondence, And will import enthalpy,
Figure BDA00000611544800001917
Output in the process database 2;
2) setting up with the process device in process database 2 is the process device model of object, the data relation that the process device model is made up of device name, equipment input and output energy medium title, energy medium parameter; The energy medium parameter promptly be by the enthalpy of process data counting circuit 3 input,
Figure BDA00000611544800001918
3) carry out the visualisation parameters configuration by computing machine, the energy medium parameter that the cohesive process device model is preserved is carried out structural arrangements and parameter configuration; Wherein structural arrangements is to choose the process device model that the energy consumption system model is comprised in process database 2; And in the input and output energy medium of process device model, choose the input and output energy medium of energy consumption system, in order to carry out energy consumption system
Figure BDA00000611544800001919
The analytical parameters configuration; The enthalpic analysis parameter configuration that comprises energy consumption system in the parameter configuration, and energy consumption system and process device
Figure BDA00000611544800001920
The analytical parameters configuration;
4) the enthalpic analysis parameter configuration of energy consumption system is at first chosen energy medium from the input and output logistics of energy consumption system, and specifies the energy value classification of each energy medium; Wherein the energy value classification comprises that supply can E Supply with, input can E Input, reclaiming can E Reclaim, output can E Output(comprising that product is taken out of can E ProductWith energy supply E outside the system The outer confession) and discharge energy E DischargeAfterwards according to energy in conversion and when shifting quantitative conservation relation calculate the enthalpic analysis result, the enthalpic analysis result comprises energy balance sheet, can two accounts index, energy distribution index; Energy balance sheet comprises that balance sheet comprises the energy value of the every energy medium of input and output, an income item and an expenditure ratio; The income item is an income and the ratio of paying two in the energy balance sheet with an expenditure ratio.The energy balance index comprises energy recovery rate η Reclaim, energy output rating η Output, energy discharge rate η DischargeAnd capacity usage ratio η UtilizeThe energy distribution index comprises that supply can distribute, import and can distribute, discharge can distribute, export and can distribute and reclaim and can distribute
5)
Figure BDA0000061154480000201
Analytical parameters disposes that at first define equipment is effective
Figure BDA0000061154480000202
Effective with system Utilize the process device input and output logistics of preserving in the process device model afterwards
Figure BDA0000061154480000204
Calculate Analysis result;
Figure BDA0000061154480000206
Analysis result comprises energy consumption system thermodynamics sophistication ε, energy consumption system
Figure BDA0000061154480000207
Efficient
Figure BDA0000061154480000208
Each equipment in the energy consumption system
Figure BDA0000061154480000209
Decrease coefficient ξ i, energy consumption system
Figure BDA00000611544800002010
Decrease coefficient ξ; Process device thermodynamics sophistication ε i, process device
Figure BDA00000611544800002011
Efficient Process device
Figure BDA00000611544800002013
Decrease coefficient ζ i
6) according to analysis time scope gather desired data, Data Source be the enthalpy that calculates of said process data computing cicuit 3, The homenergic parameter is carried out multianalysis and calculating according to the energy analysis interpretational criteria, finally to analysis result output collection 5 output enthalpic analysis results and
Figure BDA00000611544800002015
Analysis result.
Should be pointed out that the above embodiment can make those skilled in the art more fully understand the invention, but do not limit the present invention in any way creation.Therefore; although this instructions has been described in detail the invention with reference to drawings and Examples; but; those skilled in the art are to be understood that; still can make amendment or be equal to replacement the invention; in a word, all do not break away from the technical scheme and the improvement thereof of the spirit and scope of the invention, and it all should be encompassed in the middle of the protection domain of the invention patent.

Claims (8)

1. energy consumption of industry diagnostic analysis system, be used for energy consumption system with can diagnostic analysis, it is characterized in that: it comprises process data Acquisition Circuit, process database, process data counting circuit and system configuration module; Described process data Acquisition Circuit is gathered the interior industrial process data of fixed time of industrial process equipment, and described industrial process data is imported described process database and process data counting circuit respectively according to the instrument item, it is the process device model of object that described process database is set up with the process device that comprises in the energy consumption system according to described industrial process data, and the element in the described process device model comprises device name, equipment input and output energy medium title, energy medium parameter; Described process data counting circuit according to described industrial process data obtain the energy medium of described instrument item correspondence enthalpy,
Figure FDA0000061154470000011
And with described enthalpy,
Figure FDA0000061154470000012
Import in the described process database and preserve as the energy medium parameter;
Described system configuration module comprises structural arrangements module and parameter configuration module, described parameter configuration module comprise the enthalpic analysis parameter configuration module and The analytical parameters configuration module; Choose the input and output energy medium of described energy consumption system in the input and output energy medium of wherein said structural arrangements module by described process device model, import described parameter configuration module The analytical parameters configuration module; Described enthalpic analysis parameter configuration module reads enthalpy from the energy medium parameter of described process device model, be used to calculate the enthalpic analysis result, and is described
Figure FDA0000061154470000015
The analytical parameters configuration module reads from the energy medium parameter of described process device model
Figure FDA0000061154470000016
Value is used for calculating
Figure FDA0000061154470000017
Analysis result.
2. a kind of energy consumption of industry diagnostic analysis as claimed in claim 1 system is characterized in that: described energy balance sheet, can two account index, energy distribution index; Described energy balance sheet comprises energy value, the income item of the every energy medium of input and output and pays a ratio; Described energy balance index comprises energy recovery rate, energy output rating, energy discharge rate and capacity usage ratio; Described energy distribution index comprises that supply can distribute, import and can distribute, discharge can distribute, export and can distribute and reclaim and can distribute.
3. a kind of energy consumption of industry diagnostic analysis as claimed in claim 1 system is characterized in that: described
Figure FDA0000061154470000018
Analysis result comprises energy consumption system thermodynamics sophistication, energy consumption system
Figure FDA0000061154470000019
Each process device in efficient, the energy consumption system
Figure FDA00000611544700000110
Decrease coefficient, energy consumption system
Figure FDA00000611544700000111
Decrease coefficient; Process device thermodynamics sophistication, process device
Figure FDA00000611544700000112
Efficient, process device
Figure FDA00000611544700000113
Decrease coefficient.
4. as claim 1 or 2 or 3 described a kind of energy consumption of industry diagnostic analysis systems, it is characterized in that: described enthalpic analysis result and
Figure FDA00000611544700000114
The output of analysis result input analysis result is concentrated and is exported and show.
5. as claim 1 or 2 or 3 described a kind of energy consumption of industry diagnostic analysis systems, it is characterized in that: comprise data structure linked database and circuit for calculating energy in the described process data counting circuit, described data structure linked database calculates corresponding intermediate data according to described industrial process data, and described intermediate data imported described circuit for calculating energy, described circuit for calculating energy comprises the energy computation model of corresponding each energy medium, described energy computation model call described intermediate data and industrial process data calculates and output is corresponding enthalpy and
Figure FDA0000061154470000021
6. a kind of energy consumption of industry diagnostic analysis as claimed in claim 5 system, it is characterized in that: described industrial process data comprises mass parameter, flow parameter, electrical parameter, mean pressure parameter, medial temperature parameter; Described data structure linked database comprises technological process mixing gas component table, signature coefficient table, saturated vapour thermodynamic data table, superheated vapor thermodynamic data table, mixed gas thermodynamic parameter summary table and the liquid heat mechanics parameter table of corresponding each energy medium.
7. a kind of industrial energy equilibrium analysis as claimed in claim 5 system, it is characterized in that: the energy computation model of described circuit for calculating energy comprises fuel energy computation model, steam energy computation model, mixing material energy computation model and mixed gas energy computation model.
8. energy consumption of industry diagnostic analysis method, its step comprises:
1) pass through the process data that the process data Acquisition Circuit is gathered industrial process equipment, and with described process data input process data computing cicuit; According to described industrial process data calculate described energy medium correspondence enthalpy,
Figure FDA0000061154470000022
And will import enthalpy,
Figure FDA0000061154470000023
Output to process database;
2) setting up with the process device in the energy consumption system in described process database is the process device model of object, the data relation that the process device model is made up of device name, equipment input and output energy medium title, energy medium parameter; The enthalpy that described energy medium parameter is described energy medium,
Figure FDA0000061154470000024
3) the energy medium parameter of preserving in conjunction with described process device model is carried out structural arrangements and parameter configuration; The enthalpic analysis parameter configuration that comprises described energy consumption system in the parameter configuration, and energy consumption system and process device
Figure FDA0000061154470000025
The analytical parameters configuration; Wherein structural arrangements is to choose the input and output energy medium of described energy consumption system in the input and output energy medium of described process device model, in order to carry out energy consumption system
Figure FDA0000061154470000026
The analytical parameters configuration;
4) described enthalpic analysis parameter configuration is at first chosen energy medium from the input and output logistics of described energy consumption system, and specifies the energy value classification of each energy medium; According to energy quantitative conservation relation when changing and shift, calculate the enthalpic analysis result afterwards;
5) described Analytical parameters disposes that at first define equipment is effective
Figure FDA0000061154470000028
Effective with system
Figure FDA0000061154470000029
Utilize afterwards in the process device model
Figure FDA00000611544700000210
Calculate Analysis result;
6) according to analysis time scope gather enthalpy, Repeat above-mentioned steps according to default computation period, finally export the enthalpic analysis result and
Figure FDA00000611544700000213
Analysis result.
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